Bayesian additive regression trees in spatial data analysis with sparse observations
From MaRDI portal
Publication:5040537
DOI10.1080/00949655.2022.2102633OpenAlexW4290703918WikidataQ114642267 ScholiaQ114642267MaRDI QIDQ5040537
Publication date: 17 October 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2022.2102633
conditional autoregressive priorsparsity-inducing priorambient PM\(_{2.5}\)spatially adjusted Bayesian additive regression trees
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- BART: Bayesian additive regression trees
- Variable selection and prediction with incomplete high-dimensional data
- A bivariate space-time downscaler under space and time misalignment
- Bayesian image restoration, with two applications in spatial statistics (with discussion)
- Bayesian backfitting. (With comments and a rejoinder).
- Tree ensembles with rule structured horseshoe regularization
- Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (with discussion)
- BART with targeted smoothing: an analysis of patient-specific stillbirth risk
- Bayesian methods for multiple mediators: relating principal stratification and causal mediation in the analysis of power plant emission controls
- Confounder selection via penalized credible regions
- Applied Bayesian Hierarchical Methods
- Posterior distribution of hierarchical models using CAR(1) distributions
- Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection
- NOTES ON CONTINUOUS STOCHASTIC PHENOMENA
- Random forests
- A spatially-adjusted Bayesian additive regression tree model to merge two datasets
- Deviance information criteria for missing data models
This page was built for publication: Bayesian additive regression trees in spatial data analysis with sparse observations